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The Healthy Pregnancy Research Program: transforming pregnancy research through a ResearchKit app
Although maternal morbidity and mortality in the US is among the worst of developed countries, pregnant women have been under-represented in research studies, resulting in deficiencies in evidence-based guidance for treatment. There are over two billion smartphone users worldwide, enabling researche...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6550256/ https://www.ncbi.nlm.nih.gov/pubmed/31304325 http://dx.doi.org/10.1038/s41746-018-0052-2 |
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author | Radin, Jennifer M. Steinhubl, Steven R. Su, Andrew I. Bhargava, Hansa Greenberg, Benjamin Bot, Brian M. Doerr, Megan Topol, Eric J. |
author_facet | Radin, Jennifer M. Steinhubl, Steven R. Su, Andrew I. Bhargava, Hansa Greenberg, Benjamin Bot, Brian M. Doerr, Megan Topol, Eric J. |
author_sort | Radin, Jennifer M. |
collection | PubMed |
description | Although maternal morbidity and mortality in the US is among the worst of developed countries, pregnant women have been under-represented in research studies, resulting in deficiencies in evidence-based guidance for treatment. There are over two billion smartphone users worldwide, enabling researchers to easily and cheaply conduct extremely large-scale research studies through smartphone apps, especially among pregnant women in whom app use is exceptionally high, predominantly as an information conduit. We developed the first pregnancy research app that is embedded within an existing, popular pregnancy app for self-management and education of expectant mothers. Through the large-scale and simplified collection of survey and sensor generated data via the app, we aim to improve our understanding of factors that promote a healthy pregnancy for both the mother and developing fetus. From the launch of this cohort study on 16 March 2017 through 17 December 2017, we have enrolled 2058 pregnant women from all 50 states. Our study population is diverse geographically and demographically, and fairly representative of US population averages. We have collected 14,045 individual surveys and 107,102 total daily measurements of sleep, activity, blood pressure, and heart rate during this time. On average, women stayed engaged in the study for 59 days and 45 percent who reached their due date filled out the final outcome survey. During the first 9 months, we demonstrated the potential for a smartphone-based research platform to capture an ever-expanding array of longitudinal, objective, and subjective participant-generated data from a continuously growing and diverse population of pregnant women. |
format | Online Article Text |
id | pubmed-6550256 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-65502562019-07-12 The Healthy Pregnancy Research Program: transforming pregnancy research through a ResearchKit app Radin, Jennifer M. Steinhubl, Steven R. Su, Andrew I. Bhargava, Hansa Greenberg, Benjamin Bot, Brian M. Doerr, Megan Topol, Eric J. NPJ Digit Med Article Although maternal morbidity and mortality in the US is among the worst of developed countries, pregnant women have been under-represented in research studies, resulting in deficiencies in evidence-based guidance for treatment. There are over two billion smartphone users worldwide, enabling researchers to easily and cheaply conduct extremely large-scale research studies through smartphone apps, especially among pregnant women in whom app use is exceptionally high, predominantly as an information conduit. We developed the first pregnancy research app that is embedded within an existing, popular pregnancy app for self-management and education of expectant mothers. Through the large-scale and simplified collection of survey and sensor generated data via the app, we aim to improve our understanding of factors that promote a healthy pregnancy for both the mother and developing fetus. From the launch of this cohort study on 16 March 2017 through 17 December 2017, we have enrolled 2058 pregnant women from all 50 states. Our study population is diverse geographically and demographically, and fairly representative of US population averages. We have collected 14,045 individual surveys and 107,102 total daily measurements of sleep, activity, blood pressure, and heart rate during this time. On average, women stayed engaged in the study for 59 days and 45 percent who reached their due date filled out the final outcome survey. During the first 9 months, we demonstrated the potential for a smartphone-based research platform to capture an ever-expanding array of longitudinal, objective, and subjective participant-generated data from a continuously growing and diverse population of pregnant women. Nature Publishing Group UK 2018-09-05 /pmc/articles/PMC6550256/ /pubmed/31304325 http://dx.doi.org/10.1038/s41746-018-0052-2 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Radin, Jennifer M. Steinhubl, Steven R. Su, Andrew I. Bhargava, Hansa Greenberg, Benjamin Bot, Brian M. Doerr, Megan Topol, Eric J. The Healthy Pregnancy Research Program: transforming pregnancy research through a ResearchKit app |
title | The Healthy Pregnancy Research Program: transforming pregnancy research through a ResearchKit app |
title_full | The Healthy Pregnancy Research Program: transforming pregnancy research through a ResearchKit app |
title_fullStr | The Healthy Pregnancy Research Program: transforming pregnancy research through a ResearchKit app |
title_full_unstemmed | The Healthy Pregnancy Research Program: transforming pregnancy research through a ResearchKit app |
title_short | The Healthy Pregnancy Research Program: transforming pregnancy research through a ResearchKit app |
title_sort | healthy pregnancy research program: transforming pregnancy research through a researchkit app |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6550256/ https://www.ncbi.nlm.nih.gov/pubmed/31304325 http://dx.doi.org/10.1038/s41746-018-0052-2 |
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